Monte Carlo simulation for underwater optical wireless communications

Jasman, Faezah; Green, R. J.

doi:10.1109/iwow.2013.6777789

Cited by 28 publications

(13 citation statements)

References 9 publications

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“…al. in [170] where they have demonstrated that 100 MHz bandwidth availability of LoS links is reduced to 20 MHz in case of NLoS even in clear water conditions. Indeed, such a reduction is not a surprise due to the reflection losses at the sea surface and diffusion of the reflected light beam.…”

Section: Long-range Narrow-beammentioning

confidence: 99%

Underwater optical wireless communications, networking, and localization: A survey

et al. 2019

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Underwater wireless communications can be carried out through acoustic, radio frequency (RF), and optical waves. Compared to its bandwidth limited acoustic and RF counterparts, underwater optical wireless communications (UOWCs) can support higher data rates at low latency levels. However, severe aquatic channel conditions (e.g., absorption, scattering, turbulence, etc.) pose great challenges for UOWCs and significantly reduce the attainable communication ranges, which necessitates efficient networking and localization solutions. Therefore, we provide a comprehensive survey on the challenges, advances, and prospects of underwater optical wireless networks (UOWNs) from a layer by layer perspective which includes: 1) Potential network architectures; 2) Physical layer issues including propagation characteristics, channel modeling, and modulation techniques 3) Data link layer problems covering link configurations, link budgets, performance metrics, and multiple access schemes; 4) Network layer topics containing relaying techniques and potential routing algorithms; 5) Transport layer subjects such as connectivity, reliability, flow and congestion control; 6) Application layer goals and state-of-the-art UOWN applications, and 7) Localization and its impacts on UOWN layers. Finally, we outline the open research challenges and point out the future directions for underwater optical wireless communications, networking, and localization research.

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Section: Long-range Narrow-beammentioning

confidence: 99%

Underwater optical wireless communications, networking, and localization: A survey

et al. 2019

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“…Energy loss due to scattering and absorption can be characterized by scattering coefficient b (λ) and absorption coefficient a (λ). Therefore, attenuation coefficient c (λ) = a (λ) + b (λ) [1][2][3][4][5][6][7][8]. In [8], the impulse response of the channel based on MC underwater environment channel.…”

Section: Aunderwater Channelmentioning

confidence: 99%

“…Therefore, attenuation coefficient c (λ) = a (λ) + b (λ) [1][2][3][4][5][6][7][8]. In [8], the impulse response of the channel based on MC underwater environment channel. The general instructions of this approach are as follows: photon position; transmission direction by azimuth angle φ and zenith angle θ; intensity (i); every photon position introduced at (0, 0, 0) with unit weight and zero begin time.…”

Section: Aunderwater Channelmentioning

confidence: 99%

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Interference Cancellation for Underwater Environment

2019

ijrte

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In this paper, Performance of MIMO-OFDM systems in underwater wireless optical communication are studied. The execution of MIMO underwater environment regulation is examined. To alleviate turbulence induced fading, spatial diversity over underwater environment link is used. Furthermore, scattering and absorption are considered in the analysis. Analytical BER computations are fundamentally the same as simulated results. Interference cancellation inclusion in OFDM system has better BER performance than conventional method. So, by IC can accomplish high BER productivity than conventional system. Moreover, simulated results demonstrate that OFDM using IC plot has better BER execution for underwater environment.

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“…Gabriel et al used Monte Carlo simulation to investigate impulse response and observed time dispersion of underwater channel to be less than 1 ns for moderate link ranges, except in highly turbid waters [1], [2]. [3] analyzed the simulated impulse response and found the bandwidths of line-of-sight (LOS) links and non-LOS (NLOS) links to be 100 Mhz and 20 Mhz respectively. In [4], double Gamma functions was adopted to model the impulse response of UWOC links by curve fitting the Monte Carlo results.…”

Section: Introductionmentioning

confidence: 99%

Single scattering impulse response modeling of underwater wireless optical channels

Zhou

Dong

2016

OCEANS 2016 - Shanghai

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In underwater wireless optical communications (UWOC), impulse response is essential for performance evaluation and system design. However, most prior works on impulse response modeling for UWOC links utilize curve fitting of Monte Carlo simulation results and require remodeling once the link geometry or system configuration is changed. In this paper, we derive an analytical formula to model the single scattering component of impulse response. Simulation results have shown that the analytical model agrees with the Monte Carlo simulations for various link ranges, receiver apertures, launch angles and water types. The proposed model is beneficial for evaluation of UWOC links and further study on the impulse response with full components.Index Terms-Underwater wireless optical communications, impulse response, single scattering.

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Monte Carlo simulation for underwater optical wireless communications

Cited by 28 publications

References 9 publications

Underwater optical wireless communications, networking, and localization: A survey

Underwater optical wireless communications, networking, and localization: A survey

Interference Cancellation for Underwater Environment

Single scattering impulse response modeling of underwater wireless optical channels

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